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Record W2107314250 · doi:10.1177/1097184x13494837

Sex and Straight Young Men

2013· article· en· W2107314250 on OpenAlexaffabout
Marion Doull, John L. Oliffe, Rod Knight, Jean Shoveller

Bibliographic record

VenueMen and Masculinities · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRealmHegemonyPower (physics)Hegemonic masculinityGender studiesSociologyHeterosexualityPower structureSocial constructionismPsychologySocial psychologyHomosexualityMasculinityPolitical sciencePoliticsSocial scienceEthnography

Abstract

fetched live from OpenAlex

Young men are considered to have power and to be powerful in many social settings and in particular within the realm of sexual relations. This article details research that directly asks young men how they perceive, interact with, and deploy power within intimate heterosexual relationships. Semi-structured interviews were conducted with 13 Canadian-based young men (aged 17-22 years) to explore how power was understood and enacted within their intimate heterosexual relationships. A social constructionist gendered analysis was used to inductively derive themes and situate the experiences of the participants within societal discourses of hegemonic masculinities and gender regimes. Power within relationships was most often described as operating equitably, with a few participants describing the deployment of power in coercive/controlling ways. Results reveal that the use of power by men can be understood as challenging or endorsing hegemonic masculinities and traditional heterosexual gender regimes. By including young men's voices in such discussions, our research contributes important understandings and some traction towards describing what might constitute more equitable gender and power relations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score0.487

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.005
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.259
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations31
Published2013
Admission routes2
Has abstractyes

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